astro-ph.HE - 高能天体物理现象
    cond-mat.mes-hall - 尺度和物理纳米
    cs.AI - 人工智能
    cs.AR - 硬件体系结构
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MM - 多媒体
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.EM - 计量经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    gr-qc - 广义相对论与量子宇宙学
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    physics.comp-ph - 计算物理学
    physics.geo-ph - 地球物理学
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-fin.PR - 证券定价
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.HE]Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
    • [cond-mat.mes-hall]Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
    • [cs.AI]A Storytelling Robot managing Persuasive and Ethical Stances via ACT-R: an Exploratory Study
    • [cs.AI]Efficient TBox Reasoning with Value Restrictions using the 今日学术视野(2021.7.29) - 图1wer reasoner
    • [cs.AI]Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
    • [cs.AI]Inclusion, equality and bias in designing online mass deliberative platforms
    • [cs.AI]Predictive Coding: a Theoretical and Experimental Review
    • [cs.AI]Reinforcement Learning with Formal Performance Metrics for Quadcopter Attitude Control under Non-nominal Contexts
    • [cs.AI]Task and Situation Structures for Service Agent Planning
    • [cs.AI]Template-based Chatbot for Agriculture Related FAQs
    • [cs.AI]The social dilemma in AI development and why we have to solve it
    • [cs.AI]Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
    • [cs.AR]MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
    • [cs.CL]Cross-lingual Transferring of Pre-trained Contextualized Language Models
    • [cs.CL]Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
    • [cs.CL]Emotion Recognition under Consideration of the Emotion Component Process Model
    • [cs.CL]Emotion Stimulus Detection in German News Headlines
    • [cs.CL]Energy-based Unknown Intent Detection with Data Manipulation
    • [cs.CL]Federated Learning Meets Natural Language Processing: A Survey
    • [cs.CL]Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning
    • [cs.CL]Language Grounding with 3D Objects
    • [cs.CL]Measuring daily-life f
    490a
    ear perception change: a computational study in the context of COVID-19
    • [cs.CL]QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
    • [cs.CL]Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach
    • [cs.CL]gaBERT — an Irish Language Model
    • [cs.CR]Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis
    • [cs.CR]Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms
    • [cs.CR]PDF-Malware: An Overview on Threats, Detection and Evasion Attacks
    • [cs.CR]Towards Industrial Private AI: A two-tier framework for data and model security
    • [cs.CV]A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
    • [cs.CV]A Physiologically-adapted Gold Standard for Arousal During a Stress Induced Scenario
    • [cs.CV]Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
    • [cs.CV]Adaptive Denoising via GainTuning
    • [cs.CV]Adversarial Attacks with Time-Scale Representations
    • [cs.CV]Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration
    • [cs.CV]Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
    • [cs.CV]BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
    • [cs.CV]CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
    • [cs.CV]CKConv: Learning Feature Voxelization for Point Cloud Analysis
    • [cs.CV]CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
    • [cs.CV]Circular-Symmetric Correlation Layer based on FFT
    • [cs.CV]Co-Transport for Class-Incremental Learning
    • [cs.CV]Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
    • [cs.CV]Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera
    • [cs.CV]Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
    • [cs.CV]DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization
    • [cs.CV]Discriminative-Generative Representation Learning for One-Class Anomaly Detection
    • [cs.CV]Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
    • [cs.CV]Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features
    • [cs.CV]ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
    • [cs.CV]Efficient Video Object Segmentation with Compressed Video
    • [cs.CV]Enriching Local and Global Contexts for Temporal Action Localization
    • [cs.CV]Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
    • [cs.CV]Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection
    • [cs.CV]Greedy Gradient Ensemble for Robust Visual Question Answering
    • [cs.CV]H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
    • [cs.CV]Identify Apple Leaf Diseases Using Deep Learning Algorithm
    • [cs.CV]Image Scene Graph Generation (SGG) Benchmark
    • [cs.CV]Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
    • [cs.CV]Learning Local Recurrent Models for Human Mesh Recovery
    • [cs.CV]MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
    • [cs.CV]Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition
    • [cs.CV]Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
    • [cs.CV]Perception-and-Regulation Network for Salient Object Detection
    • [cs.CV]Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
    • [cs.CV]PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution
    • [cs.CV]Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
    • [cs.CV]RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
    • [cs.CV]Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System
    • [cs.CV]Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
    • [cs.CV]Remember What You have drawn: Semantic Image Manipulation with Memory
    • [cs.CV]Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
    • [cs.CV]Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP
    • [cs.CV]Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
    • [cs.CV]Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
    • [cs.CV]StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
    • [cs.CV]Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
    • [cs.CV]Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
    • [cs.CV]Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
    • [cs.CV]Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
    • [cs.CV]Unsupervised Outlier Detection using Memory and Contrastive Learning
    • [cs.CV]Vision-Guided Forecasting — Visual Context for Multi-Horizon Time Series Forecasting
    • [cs.CY]Estudo Abordando o Contexto de Notícias Falsas em Países de Língua Portuguesa (Fake News)
    • [cs.DB]A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
    • [cs.DC]AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices
    • [cs.DC]Average-Case Analysis of Greedy Matching for D2D Resource Sharing
    • [cs.DC]Cross-Referencing Method for Scalable Public Blockchain
    • [cs.DC]Edge service resource allocation strategy based on intelligent prediction
    • [cs.DC]Efficient Parallel Graph Trimming by Arc-Consistency
    • [cs.DC]HPTMT: Operator-Based Architecture for ScalableHigh-Performance Data-Intensive Frameworks
    • [cs.DC]On the data persistency of replicated erasure codes in distributed storage systems
    • [cs.DC]Parallel Detection for Efficient Video Analytics at the Edge
    • [cs.DC]Proactive Composition of Mobile IoT Energy Services
    • [cs.DC]Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
    • [cs.DS]Efficient inference of interventional distributions
    • [cs.IR]A Biomedically oriented automatically annotated Twitter COVID-19 Dataset
    • [cs.IR]Deep Variational Models for Collaborative Filtering-based Recommender Systems
    • [cs.IT]Cooperative Reflection Design with Timing Offsets in Distributed Multi-RIS Communications
    • [cs.IT]Iterative Reed-Muller Decoding
    • [cs.IT]Joint Power and User Grouping Optimization in Cell-Free Massive MIMO Systems
    • [cs.IT]Low-Complexity Improved-Throughput Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
    • [cs.IT]Next-Generation Multiple Access Based on NOMA with Power Level Modulation
    • [cs.IT]On decoding hyperbolic codes
    • [cs.IT]On the Construction of Protograph-based Partially Doped GLDPC Codes
    • [cs.IT]QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems
    • [cs.IT]Resource Optimization with Interference Coupling in Multi-IRS-assisted Multi-cell Systems
    • [cs.LG]A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
    • [cs.LG]Accelerated Gradient Descent Learning over Multiple Access Fading Channels
    • [cs.LG]Adversarial Random Forest Classifier for Automated Game Design
    • [cs.LG]Adversarial Stacked Auto-Encoders for Fair Representation Learning
    • [cs.LG]Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
    • [cs.LG]COPS: Controlled Pruning Before Training Starts
    • [cs.LG]Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
    • [cs.LG]Clickbait Detection in YouTube Videos
    • [cs.LG]Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
    • [cs.LG]Combining Reward and Rank Signals for Slate Recommendation
    • [cs.LG]Continual Learning with Neuron Activation Importance
    • [cs.LG]Convergence of Deep ReLU Networks
    • [cs.LG]Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
    • [cs.LG]Don’t Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
    • [cs.LG]Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
    • [cs.LG]Ensemble Learning For Mega Man Level Generation
    • [cs.LG]Experiments on Properties of Hidden Structures of Sparse Neural Networks
    • [cs.LG]Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition
    • [cs.LG]Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm
    • [cs.LG]Generating Lode Runner Levels by Learning Player Paths with LSTMs
    • [cs.LG]High-Dimensional Distribution Generation Through Deep Neural Networks
    • [cs.LG]Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces
    • [cs.LG]Individual Survival Curves with Conditional Normalizing Flows
    • [cs.LG]LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
    • [cs.LG]Model Free Barrier Functions via Implicit Evading Maneuvers
    • [cs.LG]Neural Network Branch-and-Bound for Neural Network Verification
    • [cs.LG]On the Role of Optimization in Double Descent: A Least Squares Study
    • [cs.LG]Open-Ended Learning Leads to Generally Capable Agents
    • [cs.LG]Persistent Reinforcement Learning via Subgoal Curricula
    • [cs.LG]Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks
    • [cs.LG]Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
    • [cs.LG]Probing neural networks with t-SNE, class-specific projections and a guided tour
    • [cs.LG]Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey
    • [cs.LG]Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method
    • [cs.LG]Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
    • [cs.LG]TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games
    • [cs.LG]Toward Co-creative Dungeon Generation via Transfer Learning
    • [cs.LG]Transfer Learning in Electronic Health Records through Clinical Concept Embedding
    • [cs.MM]Angel’s Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
    • [cs.MM]Multi-modal estimation of the properties of containers and their content: survey and evaluation
    • [cs.NE]Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
    • [cs.NI]The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
    • [cs.RO]A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition
    • [cs.RO]Design and Analysis of a Robotic Lizard using Five-Bar Mechanism
    • [cs.RO]End-To-End Real-Time Visual Perception Framework for Construction Automation
    • [cs.RO]High-Payload Online Identification and Adaptive Control for an Electrically-actuated Quadruped Robot
    • [cs.RO]Information-Theoretic Based Target Search with Multiple Agents
    • [cs.RO]Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
    • [cs.RO]SpectGRASP: Robotic Grasping by Spectral Correlation
    • [cs.RO]Terrain-perception-free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation
    • [cs.RO]The Pursuit and Evasion of Drones Attacking an Automated Turret
    • [cs.RO]Topology Design and Position Analysis of a Reconfigurable Modular Hybrid-Parallel Manipulator
    • [cs.RO]VIPose: Real-time Visual-Inertial 6D Object Pose Tracking
    • [cs.SD]Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
    • [cs.SD]Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis
    • [cs.SE]Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering
    • [cs.SI]CCGL: Contrastive Cascade Graph Learning
    • [cs.SI]Consumer belonging behaviour: Qualitative testing of a theoretical framework and proposal of an alternative model
    • [cs.SI]Pressure Test: Good Stress for Company Success
    • [econ.EM]A Unifying Framework for Testing Shape Restrictions
    • [eess.IV]A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
    • [eess.IV]Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)
    • [eess.IV]Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
    • [eess.IV]Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
    • [eess.IV]SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
    • [eess.IV]Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
    • [eess.SP]Learning to Estimate RIS-Aided mmWave Channels
    • [eess.SY]Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
    • [eess.SY]Sparse Bayesian Deep Learning for Dynamic System Identification
    • [gr-qc]Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders
    • [math.OC]Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
    • [math.OC]Global optimization using random embeddings
    • [math.OC]Parallel Surrogate-assisted Optimization Using Mesh Adaptive Direct Search
    • [math.OC]Theoretical Study and Comparison of SPSA and RDSA Algorithms
    • [math.PR]Bi-Directional Grid Constrained Stochastic Processes’ Link to Multi-Skew Brownian Motion
    • [math.ST]今日学术视野(2021.7.29) - 图2 density estimation from privatised data
    • [math.ST]Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
    • [physics.chem-ph]Geometric Deep Learning on Molecular Representations
    • [physics.comp-ph]An FPGA cached sparse matrix vector product (SpMV) for unstructured computational fluid dynamics simulations
    • [physics.geo-ph]Initial Foundation for Predicting Individual Earthquake’s Location and Magnitude by Using Glass-Box Physics Rule Learner
    • [physics.soc-ph]Generating functions for message-passing on weighted networks: directed bond percolation and SIR epidemics
    • [q-bio.NC]A Data-Driven Biophysical Computational Model of Parkinson’s Disease based on Marmoset Monkeys
    • [q-bio.NC]Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
    • [q-fin.PR]Robustness and sensitivity analyses for rough Volterra stochastic volatility models
    • [stat.AP]Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
    • [stat.AP]School neighbourhood and compliance with WHO-recommended annual NO2 guideline: a case study of Greater London
    • [stat.AP]Sequentially estimating the dynamic contact angle of sessile saliva droplets in view of SARS-CoV-2
    • [stat.AP]Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset
    • [stat.ME]A principled (and practical) test for network comparison
    • [stat.ME]A robust spline approach in partially linear additive models
    • [stat.ME]Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance
    • [stat.ME]Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference
    • [stat.ME]Extrapolation Estimation for Nonparametric Regression with Measurement Error
    • [stat.ME]LinCDE: Conditional Density Estimation via Lindsey’s Method
    • [stat.ME]Outcome-Adjusted Balance Measure for Generalized Propensity Score Model Selection
    • [stat.ME]Subset selection for linear mixed models
    • [stat.ME]Technical properties of Ranked Nodes Method
    • [stat.ML
    8e0
    ]Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
    • [stat.ML]Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
    • [stat.ML]Statistical Guarantees for Fairness Aware Plug-In Algorithms

    ·····································

    • [astro-ph.HE]Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
    Felix Kahlhoefer, Michael Korsmeier, Michael Krämer, Silvia Manconi, Kathrin Nippel
    http://arxiv.org/abs/2107.12395v1

    • [cond-mat.mes-hall]Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
    B. Severin, D. T. Lennon, L. C. Camenzind, F. Vigneau, F. Fedele, D. Jirovec, A. Ballabio, D. Chrastina, G. Isella, M. de Kruijf, M. J. Carballido, S. Svab, A. V. Kuhlmann, F. R. Braakman, S. Geyer, F. N. M. Froning, H. Moon, M. A. Osborne, D. Sejdinovic, G. Katsaros, D. M. Zumbühl, G. A. D. Briggs, N. Ares
    http://arxiv.org/abs/2107.12975v1

    • [cs.AI]A Storytelling Robot managing Persuasive and Ethical Stances via ACT-R: an Exploratory Study
    Agnese Augello, Giuseppe Città, Manuel Gentile, Antonio Lieto
    http://arxiv.org/abs/2107.12845v1

    • [cs.AI]Efficient TBox Reasoning with Value Restrictions using the 今日学术视野(2021.7.29) - 图3wer reasoner
    Franz Baader, Patrick Koopmann, Friedrich Michel, Anni-Yasmin Turhan, Benjamin Zarrieß
    http://arxiv.org/abs/2107.12877v1

    • [cs.AI]Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
    Pedro A. Tsividis, Joao Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum
    http://arxiv.org/abs/2107.12544v1

    • [cs.AI]Inclusion, equality and bias in designing online mass deliberative platforms
    Ruth Shortall, Anatol Itten, Michiel van der Meer, Pradeep K. Murukannaiah, Catholijn M. Jonker
    http://arxiv.org/abs/2107.12711v1

    • [cs.AI]Predictive Coding: a Theoretical and Experimental Review
    Beren Millidge, Anil Seth, Christopher L Buckley
    http://arxiv.org/abs/2107.12979v1

    • [cs.AI]Reinforcement Learning with Formal Performance Metrics for Quadcopter Attitude Control under Non-nominal Contexts
    Nicola Bernini, Mikhail Bessa, Rémi Delmas, Arthur Gold, Eric Goubault, Romain Pennec, Sylvie Putot, François Sillion
    http://arxiv.org/abs/2107.12942v1

    • [cs.AI]Task and Situation Structures for Service Agent Planning
    Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang
    http://arxiv.org/abs/2107.12851v1

    • [cs.AI]Template-based Chatbot for Agriculture Related FAQs
    Daping Zhang, Xin Chen, Yujia Zhang, Shihan Qin
    http://arxiv.org/abs/2107.12595v1

    • [cs.AI]The social dilemma in AI development and why we have to solve it
    Inga Strümke, Marija Slavkovik, Vince Madai
    http://arxiv.org/abs/2107.12977v1

    • [cs.AI]Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
    Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan
    http://arxiv.org/abs/2107.12626v1

    • [cs.AR]MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
    Wenlong Cheng, Mingbo Zhao, Zhiling Ye, Shuhang Gu
    http://arxiv.org/abs/2107.12679v1

    • [cs.CL]Cross-lingual Transferring of Pre-trained Contextualized Language Models
    Zuchao Li, Kevin Parnow, Hai Zhao, Zhuosheng Zhang, Rui Wang, Masao Utiyama, Eiichiro Sumita
    http://arxiv.org/abs/2107.12627v1

    • [cs.CL]Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
    Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang
    http://arxiv.org/abs/2107.12578v1

    • [cs.CL]Emotion Recognition under Consideration of the Emotion Component Process Model
    Felix Casel, Amelie Heindl, Roman Klinger
    http://arxiv.org/abs/2107.12895v1

    • [cs.CL]Emotion Stimulus Detection in German News Headlines
    {Bao Minh} {Doan Dang}, Laura Oberländer, Roman Klinger
    http://arxiv.org/abs/2107.12920v1

    • [cs.CL]Energy-based Unknown Intent Detection with Data Manipulation
    Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, Shujian Huang, Jiajun Chen
    http://arxiv.org/abs/2107.12542v1

    • [cs.CL]Federated Learning Meets Natural Language Processing: A Survey
    Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang
    http://arxiv.org/abs/2107.12603v1

    • [cs.CL]Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning
    Sunakshi Mehra, Seba Susan
    http://arxiv.org/abs/2107.12428v1

    • [cs.CL]Language Grounding with 3D Objects
    Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer
    http://arxiv.org/abs/2107.12514v1

    • [cs.CL]Measuring daily-life f
    490a
    ear perception change: a computational study in the context of COVID-19
    Yuchen Chai, Juan Palacios, Jianghao Wang, Yichun Fan, Siqi Zheng
    http://arxiv.org/abs/2107.12606v1

    • [cs.CL]QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
    Anna Rogers, Matt Gardner, Isabelle Augenstein
    http://arxiv.org/abs/2107.12708v1

    • [cs.CL]Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach
    Sheikh Muhammad Sarwar, Vanessa Murdock
    http://arxiv.org/abs/2107.12866v1

    • [cs.CL]gaBERT — an Irish Language Model
    James Barry, Joachim Wagner, Lauren Cassidy, Alan Cowap, Teresa Lynn, Abigail Walsh, Mícheál J. Ó Meachair, Jennifer Foster
    http://arxiv.org/abs/2107.12930v1

    • [cs.CR]Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis
    Insha Ullah, Kerrie Mengersen, Rob J Hyndman, James McGree
    http://arxiv.org/abs/2107.12592v1

    • [cs.CR]Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms
    David M. Sommer, Lukas Abfalterer, Sheila Zingg, Esfandiar Mohammadi
    http://arxiv.org/abs/2107.12957v1

    • [cs.CR]PDF-Malware: An Overview on Threats, Detection and Evasion Attacks
    Nicolas Fleury, Theo Dubrunquez, Ihsen Alouani
    http://arxiv.org/abs/2107.12873v1

    • [cs.CR]Towards Industrial Private AI: A two-tier framework for data and model security
    Sunder Ali Khowaja, Kapal Dev, Nawab Muhammad Faseeh Qureshi, Parus Khuwaja, Luca Foschini
    http://arxiv.org/abs/2107.12806v1

    • [cs.CV]A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
    Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler
    http://arxiv.org/abs/2107.12435v1

    • [cs.CV]A Physiologically-adapted Gold Standard for Arousal During a Stress Induced Scenario
    Alice Baird, Lukas Stappen, Lukas Christ, Lea Schumann, Eva-Maria Meßner, Björn W. Schuller
    http://arxiv.org/abs/2107.12964v1

    • [cs.CV]Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
    Shi-Xue Zhang, Xiaobin Zhu, Chun Yang, Hongfa Wang, Xu-Cheng Yin
    http://arxiv.org/abs/2107.12664v1

    • [cs.CV]Adaptive Denoising via GainTuning
    Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
    http://arxiv.org/abs/2107.12815v1

    • [cs.CV]Adversarial Attacks with Time-Scale Representations
    Alberto Santamaria-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter Tu, Iyer Naresh, Nurali Virani
    http://arxiv.org/abs/2107.12473v1

    • [cs.CV]Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration
    Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang
    http://arxiv.org/abs/2107.12308v2

    • [cs.CV]Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
    Byeongjoon Noh, Hansaem Park, Hwasoo Yeo
    http://arxiv.org/abs/2107.12507v1

    • [cs.CV]BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
    Qi Tang, Runmin Cong, Ronghui Sheng, Lingzhi He, Dan Zhang, Yao Zhao, Sam Kwong
    http://arxiv.org/abs/2107.12541v1

    • [cs.CV]CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
    Denis Gudovskiy, Shun Ishizaka, Kazuki Kozuka
    http://arxiv.org/abs/2107.12571v1

    • [cs.CV]CKConv: Learning Feature Voxelization for Point Cloud Analysis
    Sungmin Woo, Dogyoon Lee, Junhyeop Lee, Sangwon Hwang, Woojin Kim, Sangyoun Lee
    http://arxiv.org/abs/2107.12655v1

    • [cs.CV]CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
    Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David Mulla, Vipin Kumar
    http://arxiv.org/abs/2107.12499v1

    • [cs.CV]Circular-Symmetric Correlation Layer based on FFT
    Bahar Azari, Deniz Erdogmus
    http://arxiv.org/abs/2107.12480v1

    • [cs.CV]Co-Transport for Class-Incremental Learning
    Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
    http://arxiv.org/abs/2107.12654v1

    • [cs.CV]Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
    Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye
    http://arxiv.org/abs/2107.12858v1

    • [cs.CV]Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera
    Erkin Türköz, Ertug Olcay, Timo Oksanen
    http://arxiv.org/abs/2107.12646v1

    • [cs.CV]Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization
    Fa-Ting Hong, Jia-Chang Feng, Dan Xu, Ying Shan, Wei-Shi Zheng
    http://arxiv.org/abs/2107.12589v1

    • [cs.CV]DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization
    Zhaoyu Su, Pin Siang Tan, Yu-Hsing Wang
    http://arxiv.org/abs/2107.12707v1

    • [cs.CV]Discriminative-Generative Representation Learning for One-Class Anomaly Detection
    Xuan Xia, Xizhou Pan, Xing He, Jingfei Zhang, Ning Ding, Lin Ma
    http://arxiv.org/abs/2107.12753v1

    • [cs.CV]Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
    Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang
    http://arxiv.org/abs/2107.12549v1

    • [cs.CV]Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features
    Andrés Gómez, Thomas Genevois, Jerome Lussereau, Christian Laugier
    http://arxiv.org/abs/2107.12692v1

    • [cs.CV]ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
    Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P. W. Pluim, Veronika Cheplygina
    http://arxiv.org/abs/2107.12734v1

    • [cs.CV]Efficient Video Object Segmentation with Compressed Video
    Kai Xu, Angela Yao
    http://arxiv.org/abs/2107.12192v2

    • [cs.CV]Enriching Local and Global Contexts for Temporal Action Localization
    Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, Gang Hua
    http://arxiv.org/abs/2107.12960v1

    • [cs.CV]Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
    Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
    http://arxiv.org/abs/2107.12636v1

    • [cs.CV]Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection
    Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb, Dailé Osorio-Roig, Christoph Busch
    http://arxiv.org/abs/2107.12675v1

    • [cs.CV]Greedy Gradient Ensemble for Robust Visual Question Answering
    Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian
    http://arxiv.org/abs/2107.12651v1

    • [cs.CV]H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
    Eduard Ramon, Gil Triginer, Janna Escur, Albert Pumarola, Jaime Garcia, Xavier Giro-i-Nieto, Francesc Moreno-Noguer
    http://arxiv.org/abs/2107.12512v1

    • [cs.CV]Identify Apple Leaf Diseases Using Deep Learning Algorithm
    Daping Zhang, Hongyu Yang, Jiayu Cao
    http://arxiv.org/abs/2107.12598v1

    • [cs.CV]Image Scene Graph Generation (SGG) Benchmark
    Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
    http://arxiv.org/abs/2107.12604v1

    • [cs.CV]Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
    Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song
    http://arxiv.org/abs/2107.12090v2

    • [cs.CV]Learning Local Recurrent Models for Human Mesh Recovery
    Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu
    http://arxiv.org/abs/2107.12847v1

    • [cs.CV]MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
    Pan Ji, Runze Li, Bir Bhanu, Yi Xu
    http://arxiv.org/abs/2107.12429v1

    • [cs.CV]Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition
    Pan Xie, Zhi Cui, Yao Du, Mengyi Zhao, Jianwei Cui, Bin Wang, Xiaohui Hu
    http://arxiv.org/abs/2107.12762v1

    • [cs.CV]Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
    Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, Changshui Zhang, Jianwei Zhang
    http://arxiv.org/abs/2107.12585v1

    • [cs.CV]Perception-and-Regulation Network for Salient Object Detection
    Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Junnan Liu
    http://arxiv.org/abs/2107.12560v1

    • [cs.CV]Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
    Alara Zindancıoğlu, T. Metin Sezgin
    http://arxiv.org/abs/2107.12143v2

    • [cs.CV]PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution
    Pan Xie, Mengyi Zhao, Xiaohui Hu
    http://arxiv.org/abs/2107.12600v1

    • [cs.CV]Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation
    Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi
    http://arxiv.org/abs/2107.12932v1

    • [cs.CV]RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
    Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman
    http://arxiv.org/abs/2107.12859v1

    • [cs.CV]Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System
    Sahar Darafsh, Saeed Shiry Ghidary, Morteza Saheb Zamani
    http://arxiv.org/abs/2107.12744v1

    • [cs.CV]Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle
    Jie Li, Sheng Zhang, Kai Han, Xia Yuan, Chunxia Zhao, Yu Liu
    http://arxiv.org/abs/2107.12852v1

    • [cs.CV]Remember What You have drawn: Semantic Image Manipulation with Memory
    Xiangxi Shi, Zhonghua Wu, Guosheng Lin, Jianfei Cai, Shafiq Joty
    http://arxiv.org/abs/2107.12579v1

    • [cs.CV]Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
    Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu
    http://arxiv.org/abs/2107.12746v1

    • [cs.CV]Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP
    Daniil Pakhomov, Sanchit Hira, Narayani Wagle, Kemar E. Green, Nassir Navab
    http://arxiv.org/abs/2107.12518v1

    • [cs.CV]Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
    Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian
    http://arxiv.org/abs/2107.12569v1

    • [cs.CV]Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
    Zefeng Ding, Changxing Ding, Zhiyin Shao, Dacheng Tao
    http://arxiv.org/abs/2107.12666v1

    • [cs.CV]StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
    Yuda Song, Hui Qian, Xin Du
    http://arxiv.org/abs/2107.12898v1

    • [cs.CV]Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
    Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
    http://arxiv.org/abs/2107.12842v1

    • [cs.CV]Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
    Miao Yin, Yang Sui, Siyu Liao, Bo Yuan
    http://arxiv.org/abs/2107.12422v1

    • [cs.CV]Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
    Haisheng Su, Peiqin Zhuang, Yukun Li, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao
    http://arxiv.org/abs/2107.12618v1

    • [cs.CV]Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
    Changan Wang, Qingyu Song, Boshen Zhang, Yabiao Wang, Ying Tai, Xuyi Hu, Chengjie Wang, Jilin Li, Jiayi Ma, Yang Wu
    http://arxiv.org/abs/2107.12619v1

    • [cs.CV]Unsupervised Outlier Detection using Memory and Contrastive Learning
    Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao
    http://arxiv.org/abs/2107.12642v1

    • [cs.CV]Vision-Guided Forecasting — Visual Context for Multi-Horizon Time Series Forecasting
    Eitan Kosman, Dotan Di Castro
    http://arxiv.org/abs/2107.12674v1

    • [cs.CY]Estudo Abordando o Contexto de Notícias Falsas em Países de Língua Portuguesa (Fake News)
    Carolina Duarte, Valderi Leithardt
    http://arxiv.org/abs/2107.12831v1

    • [cs.DB]A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
    Peizhi Wu, Gao Cong
    http://arxiv.org/abs/2107.12295v1

    • [cs.DC]AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices
    Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy
    http://arxiv.org/abs/2107.12486v1

    • [cs.DC]Average-Case Analysis of Greedy Matching for D2D Resource Sharing
    Shuqin Gao, Costas Courcoubetis, Lingjie Duan
    http://arxiv.org/abs/2107.12581v1

    • [cs.DC]Cross-Referencing Method for Scalable Public Blockchain
    Takaaki Yanagihara, Akihiro Fujihara
    http://arxiv.org/abs/2107.12981v1

    • [cs.DC]Edge service resource allocation strategy based on intelligent prediction
    Yujie Wamg, Xin Du, Xuzhao Chen, Zhihui Lu
    http://arxiv.org/abs/2107.12740v1

    • [cs.DC]Efficient Parallel Graph Trimming by Arc-Consistency
    Bin Guo, Emil Sekerinski
    http://arxiv.org/abs/2107.12720v1

    • [cs.DC]HPTMT: Operator-Based Architecture for ScalableHigh-Performance Data-Intensive Frameworks
    Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Vibhatha Abeykoon, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey Fox
    http://arxiv.org/abs/2107.12807v1

    • [cs.DC]On the data persistency of replicated erasure codes in distributed storage systems
    Roy Friedman, Rafał Kapelko, Karol Marchwicki
    http://arxiv.org/abs/2107.12788v1

    • [cs.DC]Parallel Detection for Efficient Video Analytics at the Edge
    Yanzhao Wu, Ling Liu, Ramana Kompella
    http://arxiv.org/abs/2107.12563v1

    • [cs.DC]Proactive Composition of Mobile IoT Energy Services
    Abdallah Lakhdari, Athman Bouguettaya
    http://arxiv.org/abs/2107.12519v1

    • [cs.DC]Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
    Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
    http://arxiv.org/abs/2107.12958v1

    • [cs.DS]Efficient inference of interventional distributions
    Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, N. V. Vinodchandran
    http://arxiv.org/abs/2107.11712v2

    • [cs.IR]A Biomedically oriented automatically annotated Twitter COVID-19 Dataset
    Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
    http://arxiv.org/abs/2107.12565v1

    • [cs.IR]Deep Variational Models for Collaborative Filtering-based Recommender Systems
    Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto
    http://arxiv.org/abs/2107.12677v1

    • [cs.IT]Cooperative Reflection Design with Timing Offsets in Distributed Multi-RIS Communications
    Yaqiong Zhao, Wei Xu, Huan Sun, Derrick Wing Kwan Ng, Xiaohu You
    http://arxiv.org/abs/2107.12717v1

    • [cs.IT]Iterative Reed-Muller Decoding
    Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink
    http://arxiv.org/abs/2107.12613v1

    • [cs.IT]Joint Power and User Grouping Optimization in Cell-Free Massive MIMO Systems
    Fengqian Guo, Hancheng Lu, Zhuojia Gu
    http://arxiv.org/abs/2107.12650v1

    • [cs.IT]Low-Complexity Improved-Throughput Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
    Jiancheng An, Chao Xu, Yusha Liu, Lu Gan, Lajos Hanzo
    http://arxiv.org/abs/2107.12630v1

    • [cs.IT]Next-Generation Multiple Access Based on NOMA with Power Level Modulation
    Xinyue Pei, Yingyang Chen, Miaowen Wen, Hua Yu, Erdal Panayirci, H. Vincent Poor
    http://arxiv.org/abs/2107.12668v1

    • [cs.IT]On decoding hyperbolic codes
    Eduardo Camps-Moreno, Ignacio García-Marco, Hiram H. López, Irene Márquez-Corbella, Edgar Martínez-Moro, Eliseo Sarmiento
    http://arxiv.org/abs/2107.12594v1

    • [cs.IT]On the Construction of Protograph-based Partially Doped GLDPC Codes
    Jaewha Kim, Jae-Won Kim, Jong-Seon No
    http://arxiv.org/abs/2107.12534v1

    • [cs.IT]QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems
    Fengqian Guo, Hancheng Lu, Xiaoda Jiang, Ming Zhang, Jun Wu, Chang Wen Chen
    http://arxiv.org/abs/2107.12676v1

    • [cs.IT]Resource Optimization with Interference Coupling in Multi-IRS-assisted Multi-cell Systems
    Zhanwei Yu, Di Yuan
    http://arxiv.org/abs/2107.12765v1

    • [cs.LG]A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
    Hiroki Kawakami, Hirohisa Watanabe, Keisuke Sugiura, Hiroki Matsutani
    http://arxiv.org/abs/2107.12824v1

    • [cs.LG]Accelerated Gradient Descent Learning over Multiple Access Fading Channels
    Raz Paul, Yuval Friedman, Kobi Cohen
    http://arxiv.org/abs/2107.12452v1

    • [cs.LG]Adversarial Random Forest Classifier for Automated Game Design
    Thomas Maurer, Matthew Guzdial
    http://arxiv.org/abs/2107.12501v1

    • [cs.LG]Adversarial Stacked Auto-Encoders for Fair Representation Learning
    Patrik Joslin Kenfack, Adil Mehmood Khan, Rasheed Hussain, S. M. Ahsan Kazmi
    http://arxiv.org/abs/2107.12826v1

    • [cs.LG]Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
    Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli
    http://arxiv.org/abs/2107.12809v1

    • [cs.LG]COPS: Controlled Pruning Before Training Starts
    Paul Wimmer, Jens Mehnert, Alexandru Condurache
    http://arxiv.org/abs/2107.12673v1

    • [cs.LG]Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation
    David Bonet, Antonio Ortega, Javier Ruiz-Hidalgo, Sarath Shekkizhar
    http://arxiv.org/abs/2107.12972v1

    • [cs.LG]Clickbait Detection in YouTube Videos
    Ruchira Gothankar, Fabio Di Troia, Mark Stamp
    http://arxiv.org/abs/2107.12791v1

    • [cs.LG]Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
    Hoifung Poon, Hai Wang, Hunter Lang
    http://arxiv.org/abs/2107.12591v1

    • [cs.LG]Combining Reward and Rank Signals for Slate Recommendation
    Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand
    http://arxiv.org/abs/2107.12455v1

    • [cs.LG]Continual Learning with Neuron Activation Importance
    Sohee Kim, Seungkyu Lee
    http://arxiv.org/abs/2107.12657v1

    • [cs.LG]Convergence of Deep ReLU Networks
    Yuesheng Xu, Haizhang Zhang
    http://arxiv.org/abs/2107.12530v1

    • [cs.LG]Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
    Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
    http://arxiv.org/abs/2107.12800v1

    • [cs.LG]Don’t Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
    Danielle Rothermel, Margaret Li, Tim Rocktäschel, Jakob Foerster
    http://arxiv.org/abs/2107.12460v1

    • [cs.LG]Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
    Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Dongsheng Li, Ziwei Liu
    http://arxiv.org/abs/2107.12628v1

    • [cs.LG]Ensemble Learning For Mega Man Level Generation
    Bowei Li, Ruohan Chen, Yuqing Xue, Ricky Wang, Wenwen Li, Matthew Guzdial
    http://arxiv.org/abs/2107.12524v1

    • [cs.LG]Experiments on Properties of Hidden Structures of Sparse Neural Networks
    Julian Stier, Harshil Darji, Michael Granitzer
    http://arxiv.org/abs/2107.12917v1

    • [cs.LG]Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition
    Jan Ittner, Lukasz Bolikowski, Konstantin Hemker, Ricardo Kennedy
    http://arxiv.org/abs/2107.12436v1

    • [cs.LG]Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm
    Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer
    http://arxiv.org/abs/2107.12940v1

    • [cs.LG]Generating Lode Runner Levels by Learning Player Paths with LSTMs
    Kynan Sorochan, Jerry Chen, Yakun Yu, Matthew Guzdial
    http://arxiv.org/abs/2107.12532v1

    • [cs.LG]High-Dimensional Distribution Generation Through Deep Neural Networks
    Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei
    http://arxiv.org/abs/2107.12466v1

    • [cs.LG]Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces
    Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass
    http://arxiv.org/abs/2107.12706v1

    • [cs.LG]Individual Survival Curves with Conditional Normalizing Flows
    Guillaume Ausset, Tom Ciffreo, Francois Portier, Stephan Clémençon, Timothée Papin
    http://arxiv.org/abs/2107.12825v1

    • [cs.LG]LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
    Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
    http://arxiv.org/abs/2107.12490v1

    • [cs.LG]Model Free Barrier Functions via Implicit Evading Maneuvers
    Eric Squires, Rohit Konda, Samuel Coogan, Magnus Egerstedt
    http://arxiv.org/abs/2107.12871v1

    • [cs.LG]Neural Network Branch-and-Bound for Neural Network Verification
    Florian Jaeckle, Jingyue Lu, M. Pawan Kumar
    http://arxiv.org/abs/2107.12855v1

    • [cs.LG]On the Role of Optimization in Double Descent: A Least Squares Study
    Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu
    http://arxiv.org/abs/2107.12685v1

    • [cs.LG]Open-Ended Learning Leads to Generally Capable Agents
    Open-Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michael Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki
    http://arxiv.org/abs/2107.12808v1

    • [cs.LG]Persistent Reinforcement Learning via Subgoal Curricula
    Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
    http://arxiv.org/abs/2107.12931v1

    • [cs.LG]Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks
    Liang Chen, Lesley Tan
    http://arxiv.org/abs/2107.12527v1

    • [cs.LG]Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
    Chiyuan Zhang, Maithra Raghu, Jon Kleinberg, Samy Bengio
    http://arxiv.org/abs/2107.12580v1

    • [cs.LG]Probing neural networks with t-SNE, class-specific projections and a guided tour
    Christopher R. Hoyt, Art B. Owen
    http://arxiv.org/abs/2107.12547v1

    • [cs.LG]Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2107.12521v1

    • [cs.LG]Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method
    Yejiang Yang, Weiming Xiang
    http://arxiv.org/abs/2107.12801v1

    • [cs.LG]Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
    Yuyun Yang, Zhenfei Tan, Haitao Yang, Guangchun Ruan, Haiwang Zhong
    http://arxiv.org/abs/2107.12794v1

    • [cs.LG]TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games
    Emily Halina, Matthew Guzdial
    http://arxiv.org/abs/2107.12506v1

    • [cs.LG]Toward Co-creative Dungeon Generation via Transfer Learning
    Zisen Zhou, Matthew Guzdial
    http://arxiv.org/abs/2107.12533v1

    • [cs.LG]Transfer Learning in Electronic Health Records through Clinical Concept Embedding
    Jose Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaine, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi-Khorshidi
    http://arxiv.org/abs/2107.12919v1

    • [cs.MM]Angel’s Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
    Hang Liu, Menghan Hu, Yuzhen Chen, Qingli Li, Guangtao Zhai, Simon X. Yang, Xiao-Ping Zhang, Xiaokang Yang
    http://arxiv.org/abs/2107.12921v1

    • [cs.MM]Multi-modal estimation of the properties of containers and their content: survey and evaluation
    Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro
    http://arxiv.org/abs/2107.12719v1

    • [cs.NE]Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
    Gourav Datta, Souvik Kundu, Peter A. Beerel
    http://arxiv.org/abs/2107.12374v1

    • [cs.NI]The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
    José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
    http://arxiv.org/abs/2107.12433v1

    • [cs.RO]A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition
    Caetano M. Ranieri, Renan C. Moioli, Patricia A. Vargas, Roseli A. F. Romero
    http://arxiv.org/abs/2107.12540v1

    • [cs.RO]Design and Analysis of a Robotic Lizard using Five-Bar Mechanism
    Rajashekhar V S, Dinakar Raj C K, Vishwesh S, Selva Perumal E, Nirmal Kumar M
    http://arxiv.org/abs/2107.12614v1

    • [cs.RO]End-To-End Real-Time Visual Perception Framework for Construction Automation
    Mohit Vohra, Ashish Kumar, Ravi Prakash, Laxmidhar Behera
    http://arxiv.org/abs/2107.12701v1

    • [cs.RO]High-Payload Online Identification and Adaptive Control for an Electrically-actuated Quadruped Robot
    Bingchen Jin, Shusheng Ye, Juntong Su, Chaoyang Song, Ye Zhao, Aidong Zhang, Ning Ding, Jianwen Luo
    http://arxiv.org/abs/2107.12482v1

    • [cs.RO]Information-Theoretic Based Target Search with Multiple Agents
    Minkyu Kim, Ryan Gupta, Luis Sentis
    http://arxiv.org/abs/2107.12715v1

    • [cs.RO]Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
    Yujie Tang, Liang Hu, Qingrui Zhang, Wei Pan
    http://arxiv.org/abs/2107.11777v2

    • [cs.RO]SpectGRASP: Robotic Grasping by Spectral Correlation
    Maxime Adjigble, Cristiana de Farias, Rustam Stolkin, Naresh Marturi
    http://arxiv.org/abs/2107.12492v1

    • [cs.RO]Terrain-perception-free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation
    Hongwu Zhu, Dong Wang, Ganyu Deng, Nathan Boyd, Ziyi Zhou, Lecheng Ruan, Caiming Sun, Aidong Zhang, Ning Ding, Ye Zhao, Jianwen Luo
    http://arxiv.org/abs/2107.12479v1

    • [cs.RO]The Pursuit and Evasion of Drones Attacking an Automated Turret
    Daniel Biediger, Luben Popov, Aaron T. Becker
    http://arxiv.org/abs/2107.12660v1

    • [cs.RO]Topology Design and Position Analysis of a Reconfigurable Modular Hybrid-Parallel Manipulator
    Rajashekhar Vachiravelu Saminathan
    http://arxiv.org/abs/2107.12637v1

    • [cs.RO]VIPose: Real-time Visual-Inertial 6D Object Pose Tracking
    Rundong Ge, Giuseppe Loianno
    http://arxiv.org/abs/2107.12617v1

    • [cs.SD]Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
    Laurent Benaroya, Nicolas Obin, Axel Roebel
    http://arxiv.org/abs/2107.12346v2

    • [cs.SD]Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis
    Shifeng Pan, Lei He
    http://arxiv.org/abs/2107.12562v1

    • [cs.SE]Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering
    Jessica Díaz, Jorge Pérez, Carolina Gallardo, Ángel González-Prieto
    http://arxiv.org/abs/2107.11449v1

    • [cs.SI]CCGL: Contrastive Cascade Graph Learning
    Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
    http://arxiv.org/abs/2107.12576v1

    • [cs.SI]Consumer belonging behaviour: Qualitative testing of a theoretical framework and proposal of an alternative model
    Lizardo Vargas-Bianchi
    http://arxiv.org/abs/2107.12879v1

    • [cs.SI]Pressure Test: Good Stress for Company Success
    Sanja Šćepanović, Marios Constantinides, Daniele Quercia, Seunghyun Kim
    http://arxiv.org/abs/2107.12362v2

    • [econ.EM]A Unifying Framework for Testing Shape Restrictions
    Zheng Fang
    http://arxiv.org/abs/2107.12494v1

    • [eess.IV]A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
    Nick Byrne, James R Clough, Isra Valverde, Giovanni Montana, Andrew P King
    http://arxiv.org/abs/2107.12689v1

    • [eess.IV]Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)
    Banafshe Felfeliyan, Abhilash Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet L. Ronsky
    http://arxiv.org/abs/2107.12889v1

    • [eess.IV]Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
    Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel
    http://arxiv.org/abs/2107.12978v1

    • [eess.IV]Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
    Hui Che, Sumana Ramanathan, David Foran, John L Nosher, Vishal M Patel, Ilker Hacihaliloglu
    http://arxiv.org/abs/2107.12775v1

    • [eess.IV]SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
    Michael Thoreau, Frazer Wilson
    http://arxiv.org/abs/2107.12469v1

    • [eess.IV]Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
    Hasib Zunair, A. Ben Hamza
    http://arxiv.org/abs/2107.12461v1

    • [eess.SP]Learning to Estimate RIS-Aided mmWave Channels
    Jiguang He, Henk Wymeersch, Marco Di Renzo, Markku Juntti
    http://arxiv.org/abs/2107.12631v1

    • [eess.SY]Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
    Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma
    http://arxiv.org/abs/2107.12416v1

    • [eess.SY]Sparse Bayesian Deep Learning for Dynamic System Identification
    Hongpeng Zhou, Chahine Ibrahim, Wei Xing Zheng, Wei Pan
    http://arxiv.org/abs/2107.12910v1

    • [gr-qc]Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders
    Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu, Bartlomiej Borzyszkowski, Maurizio Pierini
    http://arxiv.org/abs/2107.12698v1

    • [math.OC]Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
    Vishal Gupta, Michael Huang, Paat Rusmevichientong
    http://arxiv.org/abs/2107.12438v1

    • [math.OC]Global optimization using random embeddings
    Coralia Cartis, Estelle Massart, Adilet Otemissov
    http://arxiv.org/abs/2107.12102v1

    • [math.OC]Parallel Surrogate-assisted Optimization Using Mesh Adaptive Direct Search
    Bastien Talgorn, Stéphane Alarie, Michael Kokkolaras
    http://arxiv.org/abs/2107.12421v1

    • [math.OC]Theoretical Study and Comparison of SPSA and RDSA Algorithms
    Yiwen Chen
    http://arxiv.org/abs/2107.12771v1

    • [math.PR]Bi-Directional Grid Constrained Stochastic Processes’ Link to Multi-Skew Brownian Motion
    Aldo Taranto, Ron Addie, Shahjahan Khan
    http://arxiv.org/abs/2107.12554v1

    • [math.ST]今日学术视野(2021.7.29) - 图4 density estimation from privatised data
    László Györfi, Martin Kroll
    http://arxiv.org/abs/2107.12649v1

    • [math.ST]Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
    Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
    http://arxiv.org/abs/2107.12525v1

    • [physics.chem-ph]Geometric Deep Learning on Molecular Representations
    Kenneth Atz, Francesca Grisoni, Gisbert Schneider
    http://arxiv.org/abs/2107.12375v1

    • [physics.comp-ph]An FPGA cached sparse matrix vector product (SpMV) for unstructured computational fluid dynamics simulations
    Guillermo Oyarzun, Daniel Peyrolon, Carlos Alvarez, Xavier Martorell
    http://arxiv.org/abs/2107.12371v1

    • [physics.geo-ph]Initial Foundation for Predicting Individual Earthquake’s Location and Magnitude by Using Glass-Box Physics Rule Learner
    In Ho Cho
    http://arxiv.org/abs/2107.12915v1

    • [physics.soc-ph]Generating functions for message-passing on weighted networks: directed bond percolation and SIR epidemics
    Christoph Widder, Tanja Schilling
    http://arxiv.org/abs/2107.12665v1

    • [q-bio.NC]A Data-Driven Biophysical Computational Model of Parkinson’s Disease based on Marmoset Monkeys
    Caetano M. Ranieri, Jhielson M. Pimentel, Marcelo R. Romano, Leonardo A. Elias, Roseli A. F. Romero, Michael A. Lones, Mariana F. P. Araujo, Patricia A. Vargas, Renan C. Moioli
    http://arxiv.org/abs/2107.12536v1

    • [q-bio.NC]Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
    Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C. -W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando Ombao
    http://arxiv.org/abs/2107.12838v1

    • [q-fin.PR]Robustness and sensitivity analyses for rough Volterra stochastic volatility models
    Jan Matas, Jan Pospíšil
    http://arxiv.org/abs/2107.12462v1

    • [stat.AP]Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
    Marta Spreafico, Francesca Ieva, Marta Fiocco
    http://arxiv.org/abs/2107.12863v1

    • [stat.AP]School neighbourhood and compliance with WHO-recommended annual NO2 guideline: a case study of Greater London
    Niloofar Shoari, Shahram Heydari, Marta Blangiardo
    http://arxiv.org/abs/2107.12952v1

    • [stat.AP]Sequentially estimating the dynamic contact angle of sessile saliva droplets in view of SARS-CoV-2
    Sudeep R. Bapat
    http://arxiv.org/abs/2107.12857v1

    • [stat.AP]Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset
    Takahiro Yoshida, Hajime Seya
    http://arxiv.org/abs/2107.12539v1

    • [stat.ME]A principled (and practical) test for network comparison
    Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis, Carey E. Priebe
    http://arxiv.org/abs/2107.11403v2

    • [stat.ME]A robust spline approach in partially linear additive models
    Graciela Boente, Alejandra Mercedes Martinez
    http://arxiv.org/abs/2107.12987v1

    • [stat.ME]Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance
    Artur Pokropek, Ernest Pokropek
    http://arxiv.org/abs/2107.12757v1

    • [stat.ME]Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference
    Zhaonan Qu, Ruoxuan Xiong, Jizhou Liu, Guido Imbens
    http://arxiv.org/abs/2107.12420v1

    • [stat.ME]Extrapolation Estimation for Nonparametric Regression with Measurement Error
    Weixing Song, Kanwal Ayub, Jianhong Shi
    http://arxiv.org/abs/2107.12586v1

    • [stat.ME]LinCDE: Conditional Density Estimation via Lindsey’s Method
    Zijun Gao, Trevor Hastie
    http://arxiv.org/abs/2107.12713v1

    • [stat.ME]Outcome-Adjusted Balance Measure for Generalized Propensity Score Model Selection
    Honghe Zhao, Shu Yang
    http://arxiv.org/abs/2107.12487v1

    • [stat.ME]Subset selection for linear mixed models
    Daniel R. Kowal
    http://arxiv.org/abs/2107.12890v1

    • [stat.ME]Technical properties of Ranked Nodes Method
    Pekka Laitila, Kai Virtanen
    http://arxiv.org/abs/2107.12747v1

    • [stat.ML]Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
    Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell
    http://arxiv.org/abs/2107.12797v1

    • [stat.ML]Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
    Dominic Richards, Ilja Kuzborskij
    http://arxiv.org/abs/2107.12723v1

    • [stat.ML]Statistical Guarantees for Fairness Aware Plug-In Algorithms
    Drona Khurana, Srinivasan Ravichandran, Sparsh Jain, Narayanan Unny Edakunni
    http://arxiv.org/abs/2107.12783v1